CN117189309A - Noise reduction method and device for intelligent computation center diesel generator set - Google Patents
Noise reduction method and device for intelligent computation center diesel generator set Download PDFInfo
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Abstract
The application provides a noise reduction method and a noise reduction device for a diesel generator set of an intelligent computation center, which are characterized in that firstly, a variable-diameter airflow rate sequence is determined, an even variable-diameter airflow rate sequence and an odd variable-diameter airflow rate sequence obtained by converting the variable-diameter airflow rate sequence are averaged, and a stable even variable-diameter airflow rate sequence and a stable odd variable-diameter airflow rate sequence are correspondingly obtained; respectively performing cross different-moving point traversal on the stable even variable-diameter airflow rate sequence and the stable odd variable-diameter airflow rate sequence to correspondingly obtain an even different-diameter airflow rate sequence and a singular variable-diameter airflow rate sequence; the even and abnormal variable diameter airflow rate sequence and the singular variable diameter airflow rate sequence are subjected to excessive data screening, a first excessive variable diameter airflow value and a second excessive variable diameter airflow value are correspondingly obtained, and an excessive noise value is determined; and finally, according to the comparison between the excessive noise value and a preset excessive noise value, humidifying and reducing the flow at the reducing position of the exhaust pipeline so as to reduce noise.
Description
Technical Field
The application relates to the technical field of intelligent computation centers, in particular to a noise reduction method and device for a diesel generator set of an intelligent computation center.
Background
The intelligent computing center is the most important computing power production center in the intelligent age, takes a fused architecture computing system as a platform, takes data as resources, can drive an AI model to deeply process the data with strong computing power, continuously generates various intelligent computing services, and supplies the intelligent computing services to organizations and individuals in a cloud service form through a network.
With the development of modern industry and life, noise pollution becomes a non-negligible problem, and in many application fields, particularly in the process of energy production and use, the problem of noise generation becomes increasingly prominent, and a diesel generator set is used as a common energy supply device, and a smart center diesel generator set is a diesel generator set equipped with an intelligent control, monitoring and management system, and has advanced intelligent functions of automatic control, remote monitoring, fault diagnosis and the like, and the generator set is generally applied to scenes of power supply, emergency power supply, remote area power supply and the like, and generates larger noise in the operation process, so that the noise reduction of the smart center diesel generator set becomes an important research and engineering problem.
In the prior art, firstly, the exhaust system is optimally designed, the flow linearity of air flow is considered, the generation of flow noise is reduced, the flow of the air flow in the exhaust system is more stable by changing parameters such as the diameter, the length and the bending degree of an exhaust pipeline, so that the generation of the flow noise is reduced, secondly, a sound insulation cover is used for wrapping a diesel generator set, the propagation of the noise is isolated, a sound absorbing material is used for the inner wall of the sound insulation cover, part of sound wave energy can be absorbed, so that the radiation of the noise is reduced, meanwhile, a ventilation system is designed in the sound insulation cover, the normal operation of the generator set is ensured, the sound insulation effect is also ensured, in addition, in the internal structure of the diesel generator set, vibration conduction noise is reduced by adopting vibration reduction measures, the propagation path of the vibration noise is effectively blocked by installing a vibration reduction device at the key part of the generator set, however, the air flow can be subjected to certain interference and pressure change at the variable diameter part of the exhaust pipeline, turbulent flow can occur at the variable diameter part of the exhaust pipeline, the refraction and reflection of the sound wave are caused, and finally the noise is increased.
Disclosure of Invention
The application provides a noise reduction method and device for a diesel generator set of an intelligent computation center, which are used for solving the technical problems that turbulence possibly occurs at the reducing position of an exhaust pipeline of air flow, so that sound waves are refracted and reflected, and finally noise is increased.
In order to solve the technical problems, the application adopts the following technical scheme:
in a first aspect, the present application provides a method for noise reduction in a diesel generator set in a mental arithmetic center, comprising:
starting an intelligent computation center diesel generator set, collecting the variable-diameter airflow rate at the variable-diameter position of an exhaust pipeline, and determining a variable-diameter airflow rate sequence according to the time stamp sequence;
converting the variable-diameter airflow rate sequence into an even variable-diameter airflow rate sequence and an odd variable-diameter airflow rate sequence, and respectively carrying out averaging on the even variable-diameter airflow rate sequence and the odd variable-diameter airflow rate sequence to correspondingly obtain a stable even variable-diameter airflow rate sequence and a stable odd variable-diameter airflow rate sequence;
respectively performing cross different-moving point traversal on the stable even variable-diameter airflow rate sequence and the stable odd variable-diameter airflow rate sequence to correspondingly obtain an even different-diameter airflow rate sequence and a singular variable-diameter airflow rate sequence;
the even and abnormal variable diameter airflow rate sequence and the singular variable diameter airflow rate sequence are subjected to excessive data screening, a first excessive variable diameter airflow value and a second excessive variable diameter airflow value are correspondingly obtained, and then an excessive noise value is determined according to the first excessive variable diameter airflow value and the second excessive variable diameter airflow value;
And comparing the excessive noise value with a preset excessive noise value, and when the excessive noise value is larger than the preset excessive noise value, humidifying and reducing the flow at the reducing position of the exhaust pipeline so as to reduce noise.
In some embodiments, the variable diameter airflow rate at the exhaust duct variable diameter is collected by an airflow rate sensor.
In some embodiments, the variable diameter airflow rate set is sampled at equal time intervals.
In some embodiments, converting the variable diameter airflow rate sequence into an even variable diameter airflow rate sequence and an odd variable diameter airflow rate sequence specifically includes:
obtaining all the variable-diameter airflow rates which are even in the variable-diameter airflow rate sequence to obtain a plurality of even variable-diameter airflow rates;
arranging the plurality of even reducing airflow rates according to time sequence to obtain an even reducing airflow rate sequence;
obtaining all variable-diameter airflow rates which are odd in the variable-diameter airflow rate sequence, and obtaining a plurality of odd variable-diameter airflow rates;
and arranging the plurality of odd-diameter airflow rates according to time sequence to obtain an odd-diameter airflow rate sequence.
In some embodiments, the averaging the even-diameter airflow rate sequence and the odd-diameter airflow rate sequence respectively, and the obtaining the stationary even-diameter airflow rate sequence and the stationary odd-diameter airflow rate sequence respectively specifically includes:
Determining the average value of the even reducing airflow rate sequence to obtain an even reducing airflow rate average value, wherein the even reducing airflow rate sequence comprises a plurality of even reducing airflow rates;
residual calculation is carried out on each even reducing airflow rate and the average value of the even reducing airflow rates, so that all the stable even reducing airflow rates are obtained;
non-negative treatment is carried out on all the stable even variable-diameter airflow rates, and the stable even variable-diameter airflow rates are arranged according to time sequence, so that a stable even variable-diameter airflow rate sequence is obtained;
determining the average value of the odd-diameter variable airflow rate sequence to obtain an average value of odd-diameter variable airflow rates, wherein the odd-diameter variable airflow rate sequence comprises a plurality of odd-diameter variable airflow rates;
residual calculation is carried out on each odd variable-diameter airflow rate and the average value of the odd variable-diameter airflow rates, so that all stable odd variable-diameter airflow rates are obtained;
and carrying out non-negative treatment on all the stable odd-diameter variable airflow rates and arranging the stable odd-diameter variable airflow rates according to the time sequence to obtain a stable odd-diameter variable airflow rate sequence.
In some embodiments, performing excessive data screening on the even and abnormal variable diameter airflow rate sequence and the singular variable diameter airflow rate sequence, where the obtaining the first excessive variable diameter airflow value and the second excessive variable diameter airflow value specifically includes:
Determining a harmonic value of the even and abnormal variable diameter air flow rate sequence and a harmonic value of the singular variable diameter air flow rate sequence;
determining the fluctuation rate of the even and abnormal variable diameter airflow rate sequence and the fluctuation rate of the singular variable diameter airflow rate sequence;
setting an even variation multiple threshold value of the even variation reducing air flow rate sequence and a singular variation multiple threshold value of the singular variation reducing air flow rate sequence;
determining even excessive data screening conditions of even and abnormal variable-diameter air flow in the even and abnormal variable-diameter air flow sequence according to the harmonic value of the even and abnormal variable-diameter air flow sequence, the fluctuation rate of the even and abnormal variable-diameter air flow sequence and an even and abnormal multiple threshold;
determining a singular excess data screening condition of singular dynamic variable-diameter air flow in the singular dynamic variable-diameter air flow sequence according to the harmonic value of the singular dynamic variable-diameter air flow sequence, the fluctuation rate of the singular dynamic variable-diameter air flow sequence and a singular dynamic multiple threshold;
screening the even and abnormal variable-diameter air flow in the even and abnormal variable-diameter air flow sequence according to the even and abnormal variable-diameter data screening condition, and centralizing the even and abnormal variable-diameter air flow obtained by screening to obtain a first excessive variable-diameter air flow value;
And screening the singular dynamic variable-diameter air flow in the singular dynamic variable-diameter air flow sequence according to the singular excessive data screening condition, and centralizing the singular dynamic variable-diameter air flow obtained by screening to obtain a second excessive variable-diameter air flow value.
In some embodiments, the even overstock screening condition is determined by the following equation:
wherein,the harmonic value of the airflow rate sequence of the even variation reducing is represented by ω, the fluctuation rate of the airflow rate sequence of the even variation reducing is represented by ω, the threshold value of even variation multiple is represented by k, and δ t The t-th even variation variable diameter air flow degree of the even variation variable diameter air flow degree sequence is shown.
In a second aspect, the present application provides a noise reduction apparatus for a smart hub diesel-electric generator set, comprising:
the variable-diameter airflow rate acquisition module is used for starting the intelligent computation center diesel generator set, acquiring the variable-diameter airflow rate at the variable-diameter position of the exhaust pipeline, and sequentially determining a variable-diameter airflow rate sequence through a time stamp;
the stationary odd-even variable-diameter airflow rate determining module is used for converting the variable-diameter airflow rate sequence into an even variable-diameter airflow rate sequence and an odd variable-diameter airflow rate sequence, and respectively carrying out averaging on the even variable-diameter airflow rate sequence and the odd variable-diameter airflow rate sequence to correspondingly obtain a stationary even variable-diameter airflow rate sequence and a stationary odd variable-diameter airflow rate sequence;
The odd-even variation variable-diameter airflow rate determining module is used for respectively traversing the cross different points of the stable even variable-diameter airflow rate sequence and the stable odd variable-diameter airflow rate sequence to correspondingly obtain an even variation variable-diameter airflow rate sequence and a singular variation variable-diameter airflow rate sequence;
the excessive noise value determining module is used for carrying out excessive data screening on the even and abnormal variable diameter airflow degree sequence and the singular variable diameter airflow degree sequence, correspondingly obtaining a first excessive diameter airflow value and a second excessive diameter airflow value, and further determining an excessive noise value according to the first excessive diameter airflow value and the second excessive diameter airflow value;
and the noise reduction module is used for comparing the excessive noise value with a preset excessive noise value, and when the excessive noise value is larger than the preset excessive noise value, humidifying and reducing the flow at the reducing position of the exhaust pipeline so as to reduce noise.
In a third aspect, the present application provides a computer device comprising a memory storing code and a processor configured to obtain the code and to perform the method of noise reduction of a smart hub diesel-electric generator set as described above.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the above-described noise reduction method for a smart hub diesel-electric generator set.
The technical scheme provided by the embodiment of the application has the following beneficial effects:
in the noise reduction method and device for the intelligent computation center diesel generator set, the intelligent computation center diesel generator set is started first, the variable-diameter airflow rate at the variable-diameter position of an exhaust pipeline is collected, and a variable-diameter airflow rate sequence is determined sequentially through a time stamp; converting the variable-diameter airflow rate sequence into an even variable-diameter airflow rate sequence and an odd variable-diameter airflow rate sequence, and respectively carrying out averaging on the even variable-diameter airflow rate sequence and the odd variable-diameter airflow rate sequence to correspondingly obtain a stable even variable-diameter airflow rate sequence and a stable odd variable-diameter airflow rate sequence; respectively performing cross different-moving point traversal on the stable even variable-diameter airflow rate sequence and the stable odd variable-diameter airflow rate sequence to correspondingly obtain an even different-diameter airflow rate sequence and a singular variable-diameter airflow rate sequence; the even and abnormal variable diameter airflow rate sequence and the singular variable diameter airflow rate sequence are subjected to excessive data screening, a first excessive variable diameter airflow value and a second excessive variable diameter airflow value are correspondingly obtained, and then an excessive noise value is determined according to the first excessive variable diameter airflow value and the second excessive variable diameter airflow value; and comparing the excessive noise value with a preset excessive noise value, and when the excessive noise value is larger than the preset excessive noise value, humidifying and reducing the flow at the reducing position of the exhaust pipeline so as to reduce noise.
According to the application, firstly, the variable-diameter airflow rate is obtained to judge whether the airflow is normal or abnormal so as to increase noise, the relation between noise and the variable-diameter airflow rate is further analyzed through obtaining the variable-diameter airflow rate, secondly, even variable-diameter airflow rate sequences and odd variable-diameter airflow rate sequences determined by the variable-diameter airflow rate are averaged, overall trend changes in the even variable-diameter airflow rate sequences and the odd variable-diameter airflow rate sequences are eliminated, a stable even variable-diameter airflow rate sequence and a stable odd variable-diameter airflow rate sequence are obtained, short-term fluctuation in variable-diameter airflow rate data is highlighted, the change modes of the data are more accurately analyzed and understood, so that noise is better detected, then, cross-changing point traversal is carried out on the stable even variable-diameter airflow rate sequences and the stable odd variable-diameter airflow rate sequences respectively so as to find abnormal points or abrupt changes which increase noise due to the change of the variable-diameter airflow rate, finally, the excessive noise values are compared with preset excessive noise values through determining excessive noise values, and when the excessive noise values are larger than preset excessive noise values, the pipeline is subjected to humidification reducing the position.
Drawings
FIG. 1 is an exemplary flow chart of a method of noise reduction for a mental arithmetic center diesel generator set according to some embodiments of the present application;
FIG. 2 is a schematic diagram of exemplary hardware and/or software of a noise reduction device of a smart hub diesel-electric generator set, according to some embodiments of the application;
fig. 3 is a schematic diagram of a computer device implementing a method of noise reduction for a smart hub diesel-electric generator set according to some embodiments of the present application.
Detailed Description
Firstly, starting an intelligent computation center diesel generator set, collecting the variable-diameter airflow rate at the variable-diameter position of an exhaust pipeline, and sequentially determining a variable-diameter airflow rate sequence through a time stamp; converting the variable-diameter airflow rate sequence into an even variable-diameter airflow rate sequence and an odd variable-diameter airflow rate sequence, and respectively carrying out averaging on the even variable-diameter airflow rate sequence and the odd variable-diameter airflow rate sequence to correspondingly obtain a stable even variable-diameter airflow rate sequence and a stable odd variable-diameter airflow rate sequence; respectively performing cross different-moving point traversal on the stable even variable-diameter airflow rate sequence and the stable odd variable-diameter airflow rate sequence to correspondingly obtain an even different-diameter airflow rate sequence and a singular variable-diameter airflow rate sequence; the even and abnormal variable diameter airflow rate sequence and the singular variable diameter airflow rate sequence are subjected to excessive data screening, a first excessive variable diameter airflow value and a second excessive variable diameter airflow value are correspondingly obtained, and then an excessive noise value is determined according to the first excessive variable diameter airflow value and the second excessive variable diameter airflow value; and comparing the excessive noise value with a preset excessive noise value, and when the excessive noise value is larger than the preset excessive noise value, humidifying and reducing the flow at the reducing position of the exhaust pipeline so as to reduce noise.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments. Referring to fig. 1, which is an exemplary flowchart of a method of noise reduction of a smart hub diesel-electric generator set according to some embodiments of the present application, a method 100 of noise reduction of a smart hub diesel-electric generator set mainly includes the steps of:
in step 101, starting an intelligent computation center diesel generator set, collecting the variable-diameter airflow rate at the variable-diameter position of an exhaust pipeline, and determining a variable-diameter airflow rate sequence according to the time stamp sequence.
The intelligent computation center diesel generator set is a diesel generator set capable of realizing intelligent control, monitoring and management, has advanced intelligent functions such as automatic control, remote monitoring, fault diagnosis and the like, is generally applied to scenes such as power supply, emergency power supply, remote area power supply and the like, generates larger noise in the operation process, and influences the surrounding environment and human health, so that the noise reduction of the intelligent computation center diesel generator set becomes an urgent problem to be solved.
In some embodiments, starting the intelligent computation center diesel generator set, obtaining the variable-diameter airflow rate at the variable-diameter position of the exhaust pipeline, and determining the variable-diameter airflow rate sequence according to the time stamp sequence specifically adopts the following modes:
Starting an intelligent computation center diesel generator set, and collecting the variable-diameter airflow rate at the variable-diameter position of an exhaust pipeline through an airflow rate sensor;
and arranging the collected variable-diameter airflow rates according to the time stamp sequence to obtain a variable-diameter airflow rate sequence.
Specifically, when the method is implemented, an airflow rate sensor is installed at the variable diameter position of the exhaust pipeline to obtain the variable diameter airflow rate of the variable diameter position of the exhaust pipeline, the variable diameter airflow rate set is sampled according to the equal time intervals, and the collected variable diameter airflow rates are arranged according to the time stamp sequence, so as to obtain a variable diameter airflow rate sequence, for example, the variable diameter airflow rates obtained by the time stamps 08:00:00, 08:15:00, 08:30:00, 08:45:00 and 09:00:00 are respectively: 10.5m/s, 11.2m/s, 10.8m/s, 10.3m/s, 11.0m/s, the variable-diameter airflow rate sequence is [10.5,11.2,10.8,10.3,11.0] which is obtained by arranging according to the time stamp sequence, and will not be described herein.
It should be noted that, the variable-diameter airflow rate may also be obtained through other airflow measurement devices, such as a hot wire anemometer, an ultrasonic anemometer, etc., which may sense the movement of the airflow at the variable diameter position of the ventilation pipeline when the intelligent computation center diesel generator set operates through a sensor or a probe, so as to further realize real-time collection of the airflow rate.
In addition, the variable-diameter air flow rate in the application refers to a value obtained by measuring the air flow rate at the variable-diameter position of the exhaust pipeline in the working process of the diesel generating set, and the air flow rate value at the variable-diameter position of the exhaust pipeline is an important working parameter and can be used for evaluating the running state of an exhaust system and judging whether the air flow is normal or abnormal to cause noise increase.
The time stamp sequence is the time sequence, namely, the data are arranged according to the time sequence, each piece of data is attached with a time stamp in the data set, the time point of the data record is represented, and the time sequence can be obtained by arranging the data according to the time stamp sequence, so that the development trend, the change condition and the like of the event can be better analyzed and understood.
In step 102, the variable-diameter airflow rate sequence is converted into an even variable-diameter airflow rate sequence and an odd variable-diameter airflow rate sequence, and the even variable-diameter airflow rate sequence and the odd variable-diameter airflow rate sequence are respectively averaged to correspondingly obtain a stable even variable-diameter airflow rate sequence and a stable odd variable-diameter airflow rate sequence.
In some embodiments, the conversion of the variable diameter airflow rate sequence into an even variable diameter airflow rate sequence and an odd variable diameter airflow rate sequence may specifically be performed by:
obtaining all the variable-diameter airflow rates which are even in the variable-diameter airflow rate sequence to obtain a plurality of even variable-diameter airflow rates;
arranging the plurality of even reducing airflow rates according to time sequence to obtain an even reducing airflow rate sequence;
obtaining all variable-diameter airflow rates which are odd in the variable-diameter airflow rate sequence, and obtaining a plurality of odd variable-diameter airflow rates;
and arranging the plurality of odd-diameter airflow rates according to time sequence to obtain an odd-diameter airflow rate sequence.
In particular, when the even variable-diameter airflow rate is an even variable-diameter airflow rate, the odd variable-diameter airflow rate is an odd variable-diameter airflow rate, the even variable-diameter airflow rate sequence is obtained by arranging a plurality of even variable-diameter airflow rates according to time sequence, and the odd variable-diameter airflow rate sequence is obtained by arranging a plurality of odd variable-diameter airflow rates according to time sequence, which is not described herein again.
It should be noted that, the acquisition of the variable diameter airflow rate sequence at the variable diameter of the exhaust pipe may be affected by various factors, at the variable diameter of the exhaust pipe, the airflow may be subjected to a certain disturbance and pressure change, the airflow may generate turbulence at the variable diameter of the exhaust pipe, so that refraction and reflection of sound waves may result, and finally noise increase may result, wherein some factors may have periodic changes, while other factors may have random changes, so that the variable diameter airflow rate sequence is divided into an even variable diameter airflow rate sequence and an odd variable diameter airflow rate sequence, which helps to separate these different types of changes, so that the noise and the periodic changes can be better understood.
In some embodiments, the even variable-diameter airflow rate sequence and the odd variable-diameter airflow rate sequence are respectively averaged, and the smooth even variable-diameter airflow rate sequence and the smooth odd variable-diameter airflow rate sequence can be obtained by adopting the following modes specifically:
determining the average value of the even reducing airflow rate sequence to obtain an even reducing airflow rate average value, wherein the even reducing airflow rate sequence comprises a plurality of even reducing airflow rates;
residual calculation is carried out on each even reducing airflow rate and the average value of the even reducing airflow rates, so that all the stable even reducing airflow rates are obtained;
non-negative treatment is carried out on all the stable even variable-diameter airflow rates, and the stable even variable-diameter airflow rates are combined according to the time sequence, so that a stable even variable-diameter airflow rate sequence is obtained;
determining the average value of the odd-diameter variable airflow rate sequence to obtain an average value of odd-diameter variable airflow rates, wherein the odd-diameter variable airflow rate sequence comprises a plurality of odd-diameter variable airflow rates;
residual calculation is carried out on each odd variable-diameter airflow rate and the average value of the odd variable-diameter airflow rates, so that all stable odd variable-diameter airflow rates are obtained;
and carrying out non-negative treatment on all the stable odd variable-diameter airflow rates and combining according to the time sequence to obtain a stable odd variable-diameter airflow rate sequence.
In the specific implementation, the non-negative treatment is performed on the even and odd stable variable-diameter airflow rates, that is, the absolute value operation is performed on the even and odd stable variable-diameter airflow rates, so that all data are non-negative values, the distribution characteristics of the data are improved, and the subsequent treatment is more effective.
It should be noted that, the purpose of performing residual calculation is to eliminate the overall trend change of the variable-diameter airflow rate in the even variable-diameter airflow rate sequence and the odd variable-diameter airflow rate sequence, so as to obtain a stable even variable-diameter airflow rate sequence and a stable odd variable-diameter airflow rate sequence, so as to highlight the short-term volatility in the variable-diameter airflow rate data, and more accurately analyze and understand the change mode of the data, thereby better detecting noise; in addition, the even and odd variable-diameter airflow rates are sequences obtained by averaging, residual calculation and other treatments in the original variable-diameter airflow rate sequence, and the object is to highlight the characteristics of periodic variation, short-term fluctuation and the like of variable-diameter airflow rate data and reduce the influence of refraction and reflection of sound waves on the variable-diameter airflow rate.
And step 103, respectively performing cross differential motion point traversal on the stable even variable-diameter airflow rate sequence and the stable odd variable-diameter airflow rate sequence to correspondingly obtain an even differential motion variable-diameter airflow rate sequence and a singular dynamic variable-diameter airflow rate sequence.
In some embodiments, the method of the present application performs cross-point differential motion traversal on the smooth even variable-diameter airflow rate sequence, and the corresponding even differential motion variable-diameter airflow rate sequence may specifically be obtained by the following manner, that is:
determining the position number M of the traversed stationary even variable-diameter airflow rate in the stationary even variable-diameter airflow rate sequence;
acquiring the total number N of the stable even variable-diameter airflow rates in the stable even variable-diameter airflow rate sequence;
determining a p-th stationary even variable diameter airflow rate alpha in a sequence of stationary even variable diameter airflow rates p ；
Determining stationary coupleConcentrated number of stationary even variable-diameter airflow rates in variable-diameter airflow rate sequence
Determining a cross differential point traversing factor lambda of the smooth even variable diameter airflow rate sequence;
according to the position number M of the traversed smooth even reducing airflow rate in the smooth even reducing airflow rate sequence, the total number N of the smooth even reducing airflow rates in the smooth even reducing airflow rate sequence and the p-th smooth even reducing airflow rate alpha in the smooth even reducing airflow rate sequence p A concentration number of the stationary even reducing airflow rates in the stationary even reducing airflow rate sequenceAnd a cross-point differential traversing factor λ of the sequence of stationary even reducing airflow rates, determining an even differential reducing airflow rate for each location of stationary even reducing airflow rate, the even differential reducing airflow rate determined by the following equation:
wherein, xi M Representing the even and abnormal variable-diameter airflow rate corresponding to the M-th even variable-diameter airflow rate position in the even variable-diameter airflow rate sequence, M representing the number of positions of the traversed even variable-diameter airflow rate in the even variable-diameter airflow rate sequence, N representing the total number of even variable-diameter airflow rates in the even variable-diameter airflow rate sequence, alpha p The p-th stationary even variable diameter airflow rate in the sequence of stationary even variable diameter airflow rates,the number of the concentrated quantities of the steady even reducing airflow rates in the steady even reducing airflow rate sequence is represented, and lambda represents the crossing different-moving-point traversing factors of the steady even reducing airflow rate sequence;
and combining the even and different variable-diameter air flow rates of the stable even variable-diameter air flow rates at each position to obtain an even and different variable-diameter air flow rate sequence.
Similarly, in the application, the smooth odd variable-diameter airflow rate sequence is traversed by crossing different moving points, and the corresponding odd variable-diameter airflow rate sequence can be obtained by adopting the following specific modes:
Determining the number M of positions of the traversed smooth odd variable-diameter airflow rate in the smooth odd variable-diameter airflow rate sequence 1 ；
Obtaining the total number N of the steady odd variable-diameter airflow rates in the steady odd variable-diameter airflow rate sequence 1 ；
Determining the p-th in a smooth odd variable airflow rate sequence 1 Smooth and steady odd variable diameter airflow rate
Determining a concentration number of the smooth odd variable-diameter airflow rates in the smooth odd variable-diameter airflow rate sequence
Determining a cross-point differential traversing factor lambda for a smooth odd variable airflow rate sequence 1 ；
According to the position number M of the traversed steady odd variable diameter airflow rate in the steady odd variable diameter airflow rate sequence 1 Total number of stationary odd variable diameter airflow rates N in the stationary odd variable diameter airflow rate sequence 1 P-th in the sequence of smooth odd variable diameter airflow rates 1 Smooth and steady odd variable diameter airflow rateThe concentration quantity of the steady odd variable diameter airflow rate in the steady odd variable diameter airflow rate sequence is +.>The crossover differential point traversal factor lambda of the smooth odd-diameter airflow rate sequence 1 Determining singular dynamic variable-diameter air flow degree of the steady singular variable-diameter air flow rate at each position;
in specific implementation, the singular dynamic reducing air flow is determined by the following formula:
wherein,representing the Mth in a sequence of smooth odd variable-diameter airflow rates 1 Singular dynamic variable diameter air flow degrees M corresponding to the stable singular variable diameter air flow rate positions 1 Number of positions, N, representing the traversed smooth odd variable diameter airflow rate in the smooth odd variable diameter airflow rate sequence 1 Representing the total number of smooth odd variable-diameter airflow rates in the smooth odd variable-diameter airflow rate sequence, +.>The p1 st stationary odd variable diameter air flow rate in the stationary odd variable diameter air flow rate sequence,/->The number of the concentrated quantities of the steady odd variable-diameter airflow rate in the steady odd variable-diameter airflow rate sequence is represented, and λ1 represents the crossing differential point traversing factor of the steady odd variable-diameter airflow rate sequence;
and combining the singular dynamic variable-diameter air flow rate of the steady singular variable-diameter air flow rate at each position to obtain the singular dynamic variable-diameter air flow rate sequence.
In particular, the number of positions of the traversed smooth even variable-diameter airflow rate in the smooth even variable-diameter airflow rate sequence and the number of positions of the traversed smooth odd variable-diameter airflow rate in the smooth odd variable-diameter airflow rate sequence are determined by counting one by one from the initial element in the sequence until the number reaches the target element, for example, a sequence: [10, 25, 15, 30, 20], the number of positions of the element 30 is 4 since the number of positions is determined by starting from the initial element of the sequence and passing through 3 elements to reach the target element 30.
In particular, in the embodiment of the present application, the number of the concentrations of the stationary even reducing airflow rates in the stationary even reducing airflow rate sequence is determined by calculating the average value of the stationary even reducing airflow rates in the stationary even reducing airflow rate sequence, that is, the average value of the stationary even reducing airflow rates is used as the number of the concentrations of the stationary even reducing airflow rates, the number of the concentrations of the stationary even reducing airflow rates in the stationary even reducing airflow rate sequence is used to represent the central tendency of data, in addition, the number of the concentrations of the stationary even reducing airflow rates in the stationary even reducing airflow rate sequence can be calculated by means of the number, the mode, the weighted average, the geometric average, and the harmonic average, but is not limited herein, and the number of the concentrations of the stationary even reducing airflow rates in the stationary odd reducing airflow rate sequence is determined by calculating the average value of the stationary odd reducing airflow rates in the stationary even reducing airflow rate sequence, that is used to represent the central tendency of data, in addition, the number of the concentrations of the stationary even reducing airflow rates in the stationary even reducing airflow rate sequence is used to represent the central tendency of data, and the geometric average value of the stationary odd reducing airflow rates is calculated by calculating the average value of the stationary even reducing airflow rates.
In addition, it should be noted that, in the present application, the cross-point different-moving-point traversing factor of the even-variable-diameter airflow rate sequence and the cross-point different-moving-point traversing factor of the odd-variable-diameter airflow rate sequence are both constant values between 0 and 1, specifically, the cross-point different-moving-point traversing factors can be selected according to the characteristics of the even-variable-diameter airflow rate data in the even-variable-diameter airflow rate sequence and the characteristics of the odd-variable-diameter airflow rate data in the even-variable-diameter airflow rate sequence, such as the distribution and the trend of data, if the data is more stable in a certain range, the cross-point different-point traversing factors can be given to be lower, otherwise, the cross-point different-point traversing factors can be given to be more sensitive to identify anomalies, the cross-point different-moving-point traversing factors can be more stable, and the proper cross-point different-point traversing factors need to be adjusted and verified in practical application so as to achieve the aim of accurately identifying anomalies, and the cross-point different-moving-point traversing factors can be effectively identified to provide the analysis and the different-point different-moving-speed information in the even-variable-diameter airflow rate sequence and the even-variable-diameter sequence in the power generating set.
The even and abnormal variable diameter airflow rate sequence refers to a sequence of each even and abnormal variable diameter airflow rate combination obtained after each stable even and variable diameter airflow rate in the stable even and variable diameter airflow rate sequence is traversed by the cross different movement points, and the even and abnormal variable diameter airflow rate is a measurement value used for representing the generation of abnormal movement of the stable even and variable diameter airflow rate in the stable even and variable diameter airflow rate sequence; the singular dynamic variable-diameter airflow degree sequence refers to a sequence of each singular dynamic variable-diameter airflow degree combination obtained after each steady odd variable-diameter airflow rate in the steady odd variable-diameter airflow rate sequence is traversed by the cross different-movement points, and the singular dynamic variable-diameter airflow degree is a measurement value used for representing the generation of different motions of the steady odd variable-diameter airflow rate in the steady odd variable-diameter airflow rate sequence.
The intersecting abnormal point traversing in the application refers to simultaneous traversing of a smooth even variable-diameter airflow rate sequence and a smooth odd variable-diameter airflow rate sequence, obtaining an abnormal measurement value of each data, extracting possible abnormal points according to the measurement value, and traversing by adopting the formula to find possible abnormal points or mutation in concrete implementation, wherein the intersecting abnormal point traversing plays an important role in detecting and analyzing abnormal points in the variable-diameter airflow rate sequence, realizing state monitoring and fault prediction of a generator set, and the abnormal points possibly represent mutation or abnormal conditions of the working state of the generator set, so that noise is increased.
In step 104, the even and abnormal variable diameter airflow rate sequence and the singular variable diameter airflow rate sequence are subjected to excessive data screening, a first excessive variable diameter airflow value and a second excessive variable diameter airflow value are correspondingly obtained, and then an excessive noise value is determined according to the first excessive variable diameter airflow value and the second excessive variable diameter airflow value.
In some embodiments, the excessive data screening is performed on the even and abnormal variable diameter airflow rate sequence and the singular variable diameter airflow rate sequence, and the specific manner of obtaining the first excessive variable diameter airflow value and the second excessive variable diameter airflow value correspondingly may be adopted as follows:
determining a harmonic value of the even and abnormal variable diameter air flow rate sequence and a harmonic value of the singular variable diameter air flow rate sequence;
determining the fluctuation rate of the even and abnormal variable diameter airflow rate sequence and the fluctuation rate of the singular variable diameter airflow rate sequence;
setting an even variation multiple threshold value of the even variation reducing air flow rate sequence and a singular variation multiple threshold value of the singular variation reducing air flow rate sequence;
determining even excessive data screening conditions of even and abnormal variable-diameter air flow in the even and abnormal variable-diameter air flow sequence according to the harmonic value of the even and abnormal variable-diameter air flow sequence, the fluctuation rate of the even and abnormal variable-diameter air flow sequence and an even and abnormal multiple threshold;
Determining a singular excess data screening condition of singular dynamic variable-diameter air flow in the singular dynamic variable-diameter air flow sequence according to the harmonic value of the singular dynamic variable-diameter air flow sequence, the fluctuation rate of the singular dynamic variable-diameter air flow sequence and a singular dynamic multiple threshold;
screening the even and abnormal variable-diameter air flow in the even and abnormal variable-diameter air flow sequence according to the even and abnormal variable-diameter data screening condition, and centralizing the even and abnormal variable-diameter air flow obtained by screening to obtain a first excessive variable-diameter air flow value;
and screening the singular dynamic variable-diameter air flow in the singular dynamic variable-diameter air flow sequence according to the singular excessive data screening condition, and centralizing the singular dynamic variable-diameter air flow obtained by screening to obtain a second excessive variable-diameter air flow value.
In particular, the even excessive data screening condition can be determined by the following formula:
wherein,the harmonic value of the airflow rate sequence of the even variation reducing is represented by ω, the fluctuation rate of the airflow rate sequence of the even variation reducing is represented by ω, the threshold value of even variation multiple is represented by k, and δ t The t-th even variation variable diameter air flow degree of the even variation variable diameter air flow degree sequence is shown.
In specific implementation, the odd excessive data filtering condition can be determined by the following formula:
Wherein,harmonic value omega representing flow rate sequence of odd change diameter variable 1 The fluctuation rate, k, representing the flow rate sequence of an odd-fluctuation reducing gas 1 Representing singular power threshold,/->T-th representing odd-motion reducing air flow sequence 1 Singular dynamic reducing air flow.
In specific implementation, the application determines the harmonic value of the even and abnormal variable diameter air flow rate sequence and the harmonic value of the singular variable diameter air flow rate sequence, taking the harmonic value of the even and abnormal variable diameter air flow rate sequence as an example, taking reciprocal of each even and abnormal variable diameter air flow rate in the even and abnormal variable diameter air flow rate sequence, and calculating the average value of each even and abnormal variable diameter air flow rate after reciprocal and then deriving, wherein the harmonic value of the even and abnormal variable diameter air flow rate sequence is determined by the following formula:
wherein ρ represents a harmonic value of the even-differential variable-diameter air flow rate sequenceM represents the total number of even-variation reducing air flow degrees and epsilon in the even-variation reducing air flow degree sequence q The q-th even variation variable diameter air flow degree in the even variation variable diameter air flow degree sequence is represented.
It should be noted that, the harmonic value of the singular variable-diameter airflow rate sequence is consistent with the harmonic value of the even variable-diameter airflow rate sequence in a determining manner, which is not described herein, where the harmonic value is used to provide a more accurate average value to solve the problem of uneven data distribution.
In particular, the fluctuation ratio of the even-variation reducing air flow rate sequence is determined by calculating the standard deviation of the even-variation reducing air flow rate in the even-variation reducing air flow rate sequence, that is, the standard deviation of the even-variation reducing air flow rate is taken as the fluctuation ratio of the even-variation reducing air flow rate sequence, and the fluctuation ratio of the odd-variation reducing air flow rate sequence is determined by calculating the standard deviation of the odd-variation reducing air flow rate in the odd-variation reducing air flow rate sequence, that is, the standard deviation of the odd-variation reducing air flow rate is taken as the fluctuation ratio of the odd-variation reducing air flow rate sequence, which is not repeated herein.
It should be noted that, in the embodiment of the present application, the value 3 is selected as an even and singular multiple threshold, the set multiple threshold is a parameter used to determine whether a data point is an outlier, which means that when determining whether a data point is abnormal, the data point is compared with the mean value of the data set, if the difference between the data point and the mean value exceeds the set multiple threshold, the data point is considered to be an outlier, specifically, the set multiple threshold is a multiplier, which is usually used to amplify or reduce the difference between the data point and the mean value, so as to adapt to different situations and specific values of the requirement threshold can be determined according to the requirements in practical application, and the set multiple threshold is usually selected based on experience or domain knowledge, for example, if the difference between a data point and the mean value exceeds 3 times of standard deviation, then it is considered to be an outlier, the selection of this threshold can be adjusted according to the characteristics of the data set and the sensitivity of the outlier, if it is desired to identify the outlier more strictly, and a larger multiple threshold can be selected, and vice versa.
In the embodiment of the present application, the excessive data screening is mainly used for screening the even and abnormal variable-diameter air flow rate in the even and abnormal variable-diameter air flow rate sequence and the value with more prominent singular variable-diameter air flow rate change in the singular variable-diameter air flow rate sequence, so as to better perform subsequent analysis.
In some embodiments, an average value between the first and second excessive variable diameter airflow values is determined, so as to obtain an excessive noise value, where the excessive noise value is obtained through a series of operations according to the variable diameter airflow rate at the variable diameter of the exhaust pipe, and is used to quantify noise at the variable diameter of the exhaust pipe.
And in step 105, comparing the excessive noise value with a preset excessive noise value, and when the excessive noise value is larger than the preset excessive noise value, performing humidification and flow reduction on the variable diameter position of the exhaust pipeline so as to reduce noise.
In some embodiments, the excessive noise value is compared with a preset excessive noise value, and when the excessive noise value is larger than the preset excessive noise value, humidification and flow reduction are performed at the reducing position of the exhaust pipeline, so that noise is reduced.
In particular, when the threshold value of the excessive noise value is preset, the threshold value is set according to factors such as environmental requirements and noise standards and is used for judgment, the obtained excessive noise value is compared with the preset excessive noise value, if the excessive noise value is larger than the preset value, the noise at the reducing position of the exhaust pipeline exceeds the expected noise, the environment or equipment can be adversely affected, measures such as humidification and flow reduction can be taken when the excessive noise value is larger than the preset value, measures such as air humidity are adopted, the flow speed of the air flow in the exhaust pipeline is adjusted, and the like, specifically, a heat exchanger is arranged at the reducing position of the exhaust pipeline, and the heat of the exhaust is transferred to a medium (such as water or air) flowing through the heat exchanger through the exhaust heat so as to achieve the aim of humidifying and cooling the air flow.
Additionally, in another aspect of the present application, in some embodiments, the present application provides a noise reduction device for a smart-center diesel-electric generator set, referring to fig. 2, which is a schematic diagram of exemplary hardware and/or software of a noise reduction device for a smart-center diesel-electric generator set according to some embodiments of the present application, the noise reduction device 200 for a smart-center diesel-electric generator set includes: the variable diameter airflow rate acquisition module 201, the stationary parity variable diameter airflow rate determination module 202, the parity variable diameter airflow rate determination module 203, the excessive noise value determination module 204, and the noise reduction module 205 are respectively described as follows:
The variable-diameter airflow rate acquisition module 201 is mainly used for starting an intelligent computation center diesel generator set, acquiring variable-diameter airflow rate at the variable-diameter position of an exhaust pipeline, and sequentially determining a variable-diameter airflow rate sequence through a time stamp;
the smooth odd-even variable-diameter airflow rate determining module 202 is mainly used for converting the variable-diameter airflow rate sequence into an even variable-diameter airflow rate sequence and an odd variable-diameter airflow rate sequence, and respectively carrying out averaging on the even variable-diameter airflow rate sequence and the odd variable-diameter airflow rate sequence to correspondingly obtain a smooth even variable-diameter airflow rate sequence and a smooth odd variable-diameter airflow rate sequence;
the parity-variation reducing air flow rate determining module 203 is mainly used for respectively performing cross-variation point traversal on the stable even reducing air flow rate sequence and the stable odd reducing air flow rate sequence to correspondingly obtain an even variation reducing air flow rate sequence and a singular variation reducing air flow rate sequence;
the excessive noise value determining module 204 in the present application, the excessive noise value determining module 204 is mainly configured to perform excessive data screening on the even and abnormal variable-diameter airflow sequence and the singular variable-diameter airflow sequence, and correspondingly obtain a first excessive variable-diameter airflow value and a second excessive variable-diameter airflow value, so as to determine an excessive noise value according to the first excessive variable-diameter airflow value and the second excessive variable-diameter airflow value;
The noise reduction module 205, in the present application, the noise reduction module 205 is mainly configured to compare the excessive noise value with a preset excessive noise value, and when the excessive noise value is greater than the preset excessive noise value, perform humidification and current reduction on the reducing position of the exhaust pipe to reduce noise.
In addition, the application also provides a computer device, which comprises a memory and a processor, wherein the memory stores codes, and the processor is configured to acquire the codes and execute the noise reduction method of the intelligent computation center diesel generator set.
In some embodiments, reference is made to FIG. 3, which is a schematic diagram of a computer device employing a method of noise reduction for a mental arithmetic center diesel generator set, according to some embodiments of the application. The noise reduction method of the smart hub diesel generator set in the above embodiment may be implemented by a computer device shown in fig. 3, which includes at least one processor 301, a communication bus 302, a memory 303, and at least one communication interface 304.
The processor 301 may be a general purpose central processing unit (central proceing unit, CPU), application-specific integrated circuit (AIC), or one or more of the methods for controlling the noise reduction of a smart hub diesel-electric generator set of the present application.
Communication bus 302 may include a path to transfer information between the above components.
The memory 303 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random acce memory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (electrically eraable programmable read-only memory, EEPROM), compact disc read-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 303 may be stand alone and be coupled to the processor 301 via the communication bus 302. Memory 303 may also be integrated with processor 301.
The memory 303 is used for storing program codes for executing the scheme of the present application, and the processor 301 controls the execution. The processor 301 is configured to execute program code stored in the memory 303. One or more software modules may be included in the program code. The determination of the excessive noise value in the above-described embodiments may be implemented by one or more software modules in the processor 301 and in the program code in the memory 303.
Communication interface 304, using any transceiver-like device for communicating with other devices or communication networks, such as ethernet, radio access network (radio acce network, RAN), wireless local area network (wirele local areanetwork, WLAN), etc.
In a specific implementation, as an embodiment, a computer device may include a plurality of processors, where each of the processors may be a single-core (ingle-CPU) processor or may be a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
The computer device may be a general purpose computer device or a special purpose computer device. In particular implementations, the computer device may be a desktop, laptop, web server, palmtop (peronal digital aitant, PDA), mobile handset, tablet, wireless terminal device, communication device, or embedded device. Embodiments of the application are not limited to the type of computer device.
In addition, the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the noise reduction method of the intelligent computation center diesel generator set when being executed by a processor.
In summary, in the noise reduction method and device for the intelligent computation center diesel generator set disclosed by the embodiment of the application, the intelligent computation center diesel generator set is started first, the variable-diameter airflow rate at the variable-diameter position of the exhaust pipeline is collected, and the variable-diameter airflow rate sequence is determined sequentially through the time stamp; converting the variable-diameter airflow rate sequence into an even variable-diameter airflow rate sequence and an odd variable-diameter airflow rate sequence, and respectively carrying out averaging on the even variable-diameter airflow rate sequence and the odd variable-diameter airflow rate sequence to correspondingly obtain a stable even variable-diameter airflow rate sequence and a stable odd variable-diameter airflow rate sequence; respectively performing cross different-moving point traversal on the stable even variable-diameter airflow rate sequence and the stable odd variable-diameter airflow rate sequence to correspondingly obtain an even different-diameter airflow rate sequence and a singular variable-diameter airflow rate sequence; the even and abnormal variable diameter airflow rate sequence and the singular variable diameter airflow rate sequence are subjected to excessive data screening, a first excessive variable diameter airflow value and a second excessive variable diameter airflow value are correspondingly obtained, and then an excessive noise value is determined according to the first excessive variable diameter airflow value and the second excessive variable diameter airflow value; and comparing the excessive noise value with a preset excessive noise value, and when the excessive noise value is larger than the preset excessive noise value, humidifying and reducing the flow at the reducing position of the exhaust pipeline so as to reduce noise.
According to the application, firstly, the variable-diameter airflow rate is obtained to judge whether the airflow is normal or abnormal so as to increase noise, the relation between noise and the variable-diameter airflow rate is further analyzed through obtaining the variable-diameter airflow rate, secondly, even variable-diameter airflow rate sequences and odd variable-diameter airflow rate sequences determined by the variable-diameter airflow rate are averaged, overall trend changes in the even variable-diameter airflow rate sequences and the odd variable-diameter airflow rate sequences are eliminated, a stable even variable-diameter airflow rate sequence and a stable odd variable-diameter airflow rate sequence are obtained, short-term fluctuation in variable-diameter airflow rate data is highlighted, the change modes of the data are more accurately analyzed and understood, so that noise is better detected, then, cross-changing point traversal is carried out on the stable even variable-diameter airflow rate sequences and the stable odd variable-diameter airflow rate sequences respectively so as to find abnormal points or abrupt changes which increase noise due to the change of the variable-diameter airflow rate, finally, the excessive noise values are compared with preset excessive noise values through determining excessive noise values, and when the excessive noise values are larger than preset excessive noise values, the pipeline is subjected to humidification reducing the position.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. The noise reduction method of the intelligent computation center diesel generator set is characterized by comprising the following steps of:
starting an intelligent computation center diesel generator set, collecting the variable-diameter airflow rate at the variable-diameter position of an exhaust pipeline, and determining a variable-diameter airflow rate sequence according to the time stamp sequence;
converting the variable-diameter airflow rate sequence into an even variable-diameter airflow rate sequence and an odd variable-diameter airflow rate sequence, and respectively carrying out averaging on the even variable-diameter airflow rate sequence and the odd variable-diameter airflow rate sequence to correspondingly obtain a stable even variable-diameter airflow rate sequence and a stable odd variable-diameter airflow rate sequence;
Respectively performing cross different-moving point traversal on the stable even variable-diameter airflow rate sequence and the stable odd variable-diameter airflow rate sequence to correspondingly obtain an even different-diameter airflow rate sequence and a singular variable-diameter airflow rate sequence;
the even and abnormal variable diameter airflow rate sequence and the singular variable diameter airflow rate sequence are subjected to excessive data screening, a first excessive variable diameter airflow value and a second excessive variable diameter airflow value are correspondingly obtained, and then an excessive noise value is determined according to the first excessive variable diameter airflow value and the second excessive variable diameter airflow value;
and comparing the excessive noise value with a preset excessive noise value, and when the excessive noise value is larger than the preset excessive noise value, humidifying and reducing the flow at the reducing position of the exhaust pipeline so as to reduce noise.
2. The method of claim 1, wherein the variable diameter airflow rate at the variable diameter of the exhaust conduit is collected by an airflow rate sensor.
3. The method of claim 1, wherein the set of reducing airflow rates is sampled at equal time intervals.
4. The method of claim 1, wherein converting the sequence of variable diameter airflow rates into a sequence of even variable diameter airflow rates and a sequence of odd variable diameter airflow rates comprises:
Obtaining all the variable-diameter airflow rates which are even in the variable-diameter airflow rate sequence to obtain a plurality of even variable-diameter airflow rates;
arranging the plurality of even reducing airflow rates according to time sequence to obtain an even reducing airflow rate sequence;
obtaining all variable-diameter airflow rates which are odd in the variable-diameter airflow rate sequence, and obtaining a plurality of odd variable-diameter airflow rates;
and arranging the plurality of odd-diameter airflow rates according to time sequence to obtain an odd-diameter airflow rate sequence.
5. The method of claim 1, wherein the averaging the even-diameter airflow rate sequence and the odd-diameter airflow rate sequence, respectively, to obtain a stationary even-diameter airflow rate sequence and a stationary odd-diameter airflow rate sequence, respectively, comprises:
determining the average value of the even reducing airflow rate sequence to obtain an even reducing airflow rate average value, wherein the even reducing airflow rate sequence comprises a plurality of even reducing airflow rates;
residual calculation is carried out on each even reducing airflow rate and the average value of the even reducing airflow rates, so that all the stable even reducing airflow rates are obtained;
non-negative treatment is carried out on all the stable even variable-diameter airflow rates, and the stable even variable-diameter airflow rates are arranged according to time sequence, so that a stable even variable-diameter airflow rate sequence is obtained;
Determining the average value of the odd-diameter variable airflow rate sequence to obtain an average value of odd-diameter variable airflow rates, wherein the odd-diameter variable airflow rate sequence comprises a plurality of odd-diameter variable airflow rates;
residual calculation is carried out on each odd variable-diameter airflow rate and the average value of the odd variable-diameter airflow rates, so that all stable odd variable-diameter airflow rates are obtained;
and carrying out non-negative treatment on all the stable odd-diameter variable airflow rates and arranging the stable odd-diameter variable airflow rates according to the time sequence to obtain a stable odd-diameter variable airflow rate sequence.
6. The method of claim 1, wherein the performing the over-data screening on the even and odd variable diameter airflow sequences and the singular variable diameter airflow sequences to obtain the first and second over-variable diameter airflow values comprises:
determining a harmonic value of the even and abnormal variable diameter air flow rate sequence and a harmonic value of the singular variable diameter air flow rate sequence;
determining the fluctuation rate of the even and abnormal variable diameter airflow rate sequence and the fluctuation rate of the singular variable diameter airflow rate sequence;
setting an even variation multiple threshold value of the even variation reducing air flow rate sequence and a singular variation multiple threshold value of the singular variation reducing air flow rate sequence;
Determining even excessive data screening conditions of even and abnormal variable-diameter air flow in the even and abnormal variable-diameter air flow sequence according to the harmonic value of the even and abnormal variable-diameter air flow sequence, the fluctuation rate of the even and abnormal variable-diameter air flow sequence and an even and abnormal multiple threshold;
determining a singular excess data screening condition of singular dynamic variable-diameter air flow in the singular dynamic variable-diameter air flow sequence according to the harmonic value of the singular dynamic variable-diameter air flow sequence, the fluctuation rate of the singular dynamic variable-diameter air flow sequence and a singular dynamic multiple threshold;
screening the even and abnormal variable-diameter air flow in the even and abnormal variable-diameter air flow sequence according to the even and abnormal variable-diameter data screening condition, and centralizing the even and abnormal variable-diameter air flow obtained by screening to obtain a first excessive variable-diameter air flow value;
and screening the singular dynamic variable-diameter air flow in the singular dynamic variable-diameter air flow sequence according to the singular excessive data screening condition, and centralizing the singular dynamic variable-diameter air flow obtained by screening to obtain a second excessive variable-diameter air flow value.
7. The method of claim 6 wherein the even overstock screening condition is determined by the following equation:
Wherein,the harmonic value of the airflow rate sequence of the even variation reducing is represented by ω, the fluctuation rate of the airflow rate sequence of the even variation reducing is represented by ω, the threshold value of even variation multiple is represented by k, and δ t The t-th even variation variable diameter air flow degree of the even variation variable diameter air flow degree sequence is shown.
8. A noise reduction device for a mental arithmetic center diesel generator set, comprising:
the variable-diameter airflow rate acquisition module is used for starting the intelligent computation center diesel generator set, acquiring the variable-diameter airflow rate at the variable-diameter position of the exhaust pipeline, and sequentially determining a variable-diameter airflow rate sequence through a time stamp;
the stationary odd-even variable-diameter airflow rate determining module is used for converting the variable-diameter airflow rate sequence into an even variable-diameter airflow rate sequence and an odd variable-diameter airflow rate sequence, and respectively carrying out averaging on the even variable-diameter airflow rate sequence and the odd variable-diameter airflow rate sequence to correspondingly obtain a stationary even variable-diameter airflow rate sequence and a stationary odd variable-diameter airflow rate sequence;
the odd-even variation variable-diameter airflow rate determining module is used for respectively traversing the cross different points of the stable even variable-diameter airflow rate sequence and the stable odd variable-diameter airflow rate sequence to correspondingly obtain an even variation variable-diameter airflow rate sequence and a singular variation variable-diameter airflow rate sequence;
The excessive noise value determining module is used for carrying out excessive data screening on the even and abnormal variable diameter airflow degree sequence and the singular variable diameter airflow degree sequence, correspondingly obtaining a first excessive diameter airflow value and a second excessive diameter airflow value, and further determining an excessive noise value according to the first excessive diameter airflow value and the second excessive diameter airflow value;
and the noise reduction module is used for comparing the excessive noise value with a preset excessive noise value, and when the excessive noise value is larger than the preset excessive noise value, humidifying and reducing the flow at the reducing position of the exhaust pipeline so as to reduce noise.
9. A computer device comprising a memory storing code and a processor configured to obtain the code and to perform the method of noise reduction of a smart hub diesel-electric generator set according to any one of claims 1 to 7.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the noise reduction method of a smart hub diesel-electric generator set according to any one of claims 1 to 7.
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| CN117650791B (en) * | 2024-01-30 | 2024-04-05 | 苏芯物联技术(南京)有限公司 | Welding history airflow data compression method integrating welding process mechanism |
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